ISDBSCAN: Density based algorithm (ISDBSCAN) for large single cell...
In InfOmics/ISDBSCAN-R: Clustering Large Single-Cell Datasets

Description Usage Arguments Details Value

This is an implementation of the ISDBSCAN algorithm of Cassisi et al (2013) adapted to manage large single cell sequencing data.

ISDBSCAN(x, ...)

## S4 method for signature 'ANY'
ISDBSCAN(x, k = 3, batch_size = blocksize(x),
  stratif = FALSE)

`x`	the input data
`k`	the number of neighbours
`batch_size`	the size of the readed chunk
`stratif`	either TRUE or FALSE, TRUE if we want to stratifie the data, FALSE otherwise.

The contribution of this package is to provide support for on-disk data representations such as HDF5, through the use of DelayedMatrix and HDF5Matrix objects, as well as for sparse data representation through the classes of the Matrix package.

This function performs ISDBSCAN clustering.

a list with the following attributes: clusters, layer, border

InfOmics/ISDBSCAN-R documentation built on May 30, 2019, 2:04 a.m.